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Benchmarks
Multiclass Classification on NSL-KDD Original
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0.9992
Accuracy
Proposed IDS Framework
0.89156
0.919505
0.94745
0.975395
Dec 11, 2025
Accuracy
Log-Loss
F1-score
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Log-Loss
F1-score
Proposed IDS Framework
2025.12
0.9992
0.0054
0.996
Gradient Boosting Machine (GBM)
2025.12
0.9869
0.1557
0.998
Random Forest
2025.12
0.9861
0.0068
0.997
Multi-Layer Perceptron
2025.12
0.9321
1.9983
0.985
K Nearest Neighbor (KNN)
2025.12
0.8957
1.0056
0.841
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